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Production systems engineering: Problems, solutions, and applications

Jingshan Li, Semyon M. Meerkov, Liang Zhang

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Production systems engineering (PSE) is an emerging branch of engineering intended to uncover fundamental principles of production systems and utilize them for analysis, continuous improvement, and design. In PSE, manufacturing systems are addressed based on first principles and at the same level of rigor as that in other engineering disciplines. This paper is intended to give a general characterization of PSE and consider, in some details, several PSE problems. Specifically, the problems of performance analysis, bottlenecks, leanness, system-theoretic properties, and transient behavior are addressed. In addition, several case studies are described and the PSE Toolbox, which implements the techniques and algorithms developed, is presented. © 2010 Elsevier Ltd.
Original languageEnglish
Pages (from-to)73-88
JournalAnnual Reviews in Control
Volume34
Issue number1
DOIs
Publication statusPublished - Apr 2010
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

Some of the results described herein and in Li and Meerkov (2009) have been obtained in collaboration with J.-T. Lim, F. Top, D. Jacobs, C.-T. Kuo, S.-Y. Chiang, and E. Enginarlar. To all of them we express our gratitude. Financial support for the research on PSE has been provided, for over 20 years, by the NSF. Without this support, the results reported herein and in Li and Meerkov (2009) would hardly be possible. In addition, this work was sponsored, both financially and through numerous applications and case studies, by GM, Ford, and Chrysler. Their contribution is impossible to overestimate.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Research Keywords

  • Bottleneck identification
  • Lean design
  • Production systems engineering
  • Transient behavior

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